Title
How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov Shashank Agnihotri M. Keuper J. Keuper 31 2 0 18 Oct 2024
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models Ce Zhang Simon Stepputtis Katia P. Sycara Yaqi Xie VLM 37 5 0 16 Oct 2024
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation Zixin Wang Dong Gong Sen Wang Zi Huang Yadan Luo VLM 34 0 0 16 Oct 2024
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning Qingqing Cao Mahyar Najibi Sachin Mehta CLIP DiffM 35 1 0 15 Oct 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection Steve Yang Peng Ye Wanli Ouyang Dongzhan Zhou Furao Shen 29 1 0 15 Oct 2024
LOBG:Less Overfitting for Better Generalization in Vision-Language Model Chenhao Ding Xinyuan Gao Songlin Dong Yuhang He Qiang Wang Alex C. Kot Yihong Gong VLM 37 1 0 14 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification Eugene P. W. Ang Shan Lin Alex C. Kot 37 2 0 11 Oct 2024
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter Yumiao Zhao Bo Jiang Xiao Wang Qin Xu Jin Tang VLM 33 0 0 10 Oct 2024
Growing Efficient Accurate and Robust Neural Networks on the Edge Vignesh Sundaresha Naresh Shanbhag 20 0 0 10 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models Muhammad Jehanzeb Mirza Mengjie Zhao Zhuoyuan Mao Sivan Doveh Wei Lin ... Yuki Mitsufuji Horst Possegger Rogerio Feris Leonid Karlinsky James Glass VLM 84 1 0 08 Oct 2024
Precise Model Benchmarking with Only a Few Observations Riccardo Fogliato Pratik Patil Nil-Jana Akpinar Mathew Monfort 24 0 0 07 Oct 2024
IT $^3$ : Idempotent Test-Time Training N. Durasov Assaf Shocher Doruk Öner Gal Chechik Alexei A. Efros Pascal Fua OOD VLM 26 1 0 05 Oct 2024
Generalizable Prompt Tuning for Vision-Language Models Qian Zhang VLM VPVLM 52 0 0 04 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 54 2 0 03 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 119 0 0 03 Oct 2024
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration Jintao Zhang Jia wei Pengle Zhang Jun-Jie Zhu Jun Zhu Jianfei Chen VLM MQ 82 19 0 03 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation Changdae Oh Yixuan Li Kyungwoo Song Sangdoo Yun Dongyoon Han OOD MoMe 45 4 0 03 Oct 2024
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness Boqian Wu Q. Xiao Shunxin Wang N. Strisciuglio Mykola Pechenizkiy M. V. Keulen D. Mocanu Elena Mocanu OOD 3DH 52 0 0 03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models Weijie Tu Weijian Deng Tom Gedeon VLM 38 5 0 02 Oct 2024
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective Yanan Zhang Jiangmeng Li Lixiang Liu Jingyao Wang VLM 29 1 0 01 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 46 1 0 01 Oct 2024
Calibrating Language Models with Adaptive Temperature Scaling Johnathan Xie Annie S. Chen Yoonho Lee Eric Mitchell Chelsea Finn 20 7 0 29 Sep 2024
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization Nikos Efthymiadis Giorgos Tolias Ondřej Chum OOD 20 0 0 29 Sep 2024
DOTA: Distributional Test-Time Adaptation of Vision-Language Models Zongbo Han Jialong Yang Junfan Li Qinghua Hu Qianli Xu Mike Zheng Shou Changqing Zhang TTA VLM 51 2 0 28 Sep 2024
LW2G: Learning Whether to Grow for Prompt-based Continual Learning Qian Feng Dawei Zhou Hanbin Zhao Chao Zhang Hui Qian VLM CLL 37 3 0 27 Sep 2024
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models Tomaso Trinci Simone Magistri Roberto Verdecchia Andrew D. Bagdanov CLL 38 0 0 27 Sep 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 27 0 0 27 Sep 2024
HydraViT: Stacking Heads for a Scalable ViT Janek Haberer A. Hojjat Olaf Landsiedel 26 0 0 26 Sep 2024
P4Q: Learning to Prompt for Quantization in Visual-language Models H. Sun Runqi Wang Yanjing Li Xianbin Cao Xiaolong Jiang Yao Hu Baochang Zhang MQ VLM 42 0 0 26 Sep 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 151 2 0 25 Sep 2024
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness Lucas Piper Arlindo L. Oliveira Tiago Marques 25 1 0 25 Sep 2024
Scalable Ensemble Diversification for OOD Generalization and Detection Alexander Rubinstein Luca Scimeca Damien Teney Seong Joon Oh BDL OOD 358 1 0 25 Sep 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning Jiashuo Li Shaokun Wang Bo Qian Yuhang He Xing Wei Qiang Wang Yihong Gong CLL 85 1 0 23 Sep 2024
Soft Segmented Randomization: Enhancing Domain Generalization in SAR-ATR for Synthetic-to-Measured Minjun Kim Ohtae Jang Haekang Song Heesub Shin Jaewoo Ok Minyoung Back Jaehyuk Youn Sungho Kim 19 2 0 21 Sep 2024
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer Zheng Liu Jinchao Zhu Nannan Li Gao Huang 27 0 0 21 Sep 2024
Test-Time Augmentation Meets Variational Bayes Masanari Kimura Howard Bondell OOD BDL TDI 21 0 0 19 Sep 2024
Mixture of Prompt Learning for Vision Language Models Yu Du Tong Niu Rong Zhao VLM 26 0 0 18 Sep 2024
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 43 1 0 18 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts Bowen Dong Pan Zhou W. Zuo VLM 42 0 0 17 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi Da-Wei Zhou Yiran Yao Han-Jia Ye De-Chuan Zhan CLL 48 5 0 11 Sep 2024
Revisiting Prompt Pretraining of Vision-Language Models Zhenyuan Chen Lingfeng Yang Shuo Chen Zhaowei Chen Jiajun Liang Xiang Li MLLM VPVLM VLM 43 1 0 10 Sep 2024
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation Alberto Bacchin Davide Allegro Stefano Ghidoni Emanuele Menegatti 56 1 0 02 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 45 3 0 30 Aug 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning Mohammadamin Banayeeanzade Mahdi Soltanolkotabi Mohammad Rostami CLL LRM 103 1 0 29 Aug 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework Shuangchen Zhao Changde Du Hui Li Huiguang He 45 0 0 27 Aug 2024
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling Yubin Wang Xinyang Jiang De Cheng Wenli Sun Dongsheng Li Cairong Zhao VLM 48 0 0 27 Aug 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon Sanghyu Yoon Ye Seul Sim Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho Woohyung Lim 33 0 0 27 Aug 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets Sven Oehri Nikolas Ebert Ahmed Abdullah Didier Stricker Oliver Wasenmüller ViT 26 5 0 26 Aug 2024
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation Yushun Tang Shuoshuo Chen Zhihe Lu Xinchao Wang Zhihai He 42 1 0 26 Aug 2024