Detecting 11K Classes: Large Scale Object Detection without Fine-Grained
Bounding Boxes

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes

14 August 2019

Hao Chen

Papers citing "Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes"

9 / 9 papers shown

Title
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection Zhichao Sun Huazhang Hu Yidong Ma Gang Liu Nemo Chen Xu Tang Yao Hu Yongchao Xu ObjD 57 0 0 24 Mar 2025
Domain Adaptation for Large-Vocabulary Object Detectors Kai Jiang Jiaxing Huang Weiying Xie Jie Lei Yunsong Li Ling Shao Shijian Lu ObjD VLM 42 2 0 13 Jan 2024
On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection Ambar Pal Arnau Ramisa C. AmitKumarK René Vidal ObjD 21 0 0 01 Dec 2022
On Label Granularity and Object Localization Elijah Cole Kimberly Wilber Grant Van Horn Xuan S. Yang Marco Fornoni Pietro Perona Serge Belongie Andrew G. Howard Oisin Mac Aodha WSOL 37 13 0 20 Jul 2022
Re-examining Distillation For Continual Object Detection Eli Verwimp Kuo Yang Sarah Parisot Hong Lanqing Jingyu Sun Eduardo Pérez-Pellitero Matthias De Lange Tinne Tuytelaars VLM 30 6 0 04 Apr 2022
Decoupled Adaptation for Cross-Domain Object Detection Junguang Jiang Baixu Chen Jianmin Wang Mingsheng Long ObjD 71 64 0 06 Oct 2021
Object Detection with a Unified Label Space from Multiple Datasets Xiangyu Zhao S. Schulter Gaurav Sharma Yi-Hsuan Tsai Manmohan Chandraker Ying Nian Wu ObjD 18 69 0 15 Aug 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 20 65 0 17 Jul 2020
Grounded Situation Recognition Sarah M Pratt Mark Yatskar Luca Weihs Ali Farhadi Aniruddha Kembhavi 25 112 0 26 Mar 2020