ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.06289
  4. Cited By
The CLEAR Benchmark: Continual LEArning on Real-World Imagery

The CLEAR Benchmark: Continual LEArning on Real-World Imagery

17 January 2022
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
    CLL
    VLM
ArXivPDFHTML

Papers citing "The CLEAR Benchmark: Continual LEArning on Real-World Imagery"

21 / 71 papers shown
Title
SimCS: Simulation for Domain Incremental Online Continual Segmentation
SimCS: Simulation for Domain Incremental Online Continual Segmentation
Motasem Alfarra
Zhipeng Cai
Adel Bibi
Guohao Li
Matthias Müller
CLL
21
4
0
29 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
36
7
0
26 Nov 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
19
73
0
25 Nov 2022
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
36
16
0
15 Nov 2022
Sequential Learning Of Neural Networks for Prequential MDL
Sequential Learning Of Neural Networks for Prequential MDL
J. Bornschein
Yazhe Li
Marcus Hutter
AI4TS
27
6
0
14 Oct 2022
Improving information retention in large scale online continual learning
Improving information retention in large scale online continual learning
Z. Cai
V. Koltun
Ozan Sener
CLL
14
1
0
12 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
36
9
0
10 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal G. Thengane
Salman Khan
Munawar Hayat
F. Khan
BDL
VLM
CLL
112
46
0
06 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
35
4
0
06 Oct 2022
Time-Varying Propensity Score to Bridge the Gap between the Past and
  Present
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor
Jonas W. Mueller
Zachary Chase Lipton
Pratik Chaudhari
Alexander J. Smola
OOD
AI4TS
32
3
0
04 Oct 2022
Operationalizing Machine Learning: An Interview Study
Operationalizing Machine Learning: An Interview Study
Shreya Shankar
Rolando Garcia
J. M. Hellerstein
Aditya G. Parameswaran
71
51
0
16 Sep 2022
Data Lifecycle Management in Evolving Input Distributions for
  Learning-based Aerospace Applications
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
Somrita Banerjee
Apoorva Sharma
Edward Schmerling
M. Spolaor
Michael Nemerouf
Marco Pavone
15
2
0
14 Sep 2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly
  Detection
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
Marius Dragoi
Elena Burceanu
Emanuela Haller
Andrei Manolache
Florin Brad
OOD
18
18
0
30 Jun 2022
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
Patrick Feeney
Sarah Schneider
Panagiotis Lymperopoulos
Liping Liu
matthias. scheutz
Michael C. Hughes Dept. of Computer Science
33
5
0
23 Jun 2022
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Tejas Srinivasan
Ting-Yun Chang
Leticia Pinto-Alva
Georgios Chochlakis
Mohammad Rostami
Jesse Thomason
VLM
CLL
17
73
0
18 Jun 2022
Rethinking Streaming Machine Learning Evaluation
Rethinking Streaming Machine Learning Evaluation
Shreya Shankar
Bernease Herman
Aditya G. Parameswaran
LRM
46
6
0
23 May 2022
Sparsity and Heterogeneous Dropout for Continual Learning in the Null
  Space of Neural Activations
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations
Ali Abbasi
Parsa Nooralinejad
Vladimir Braverman
Hamed Pirsiavash
Soheil Kolouri
CLL
34
16
0
12 Mar 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
Kazuki Irie
Imanol Schlag
Róbert Csordás
Jürgen Schmidhuber
14
26
0
11 Feb 2022
Memory-Efficient Semi-Supervised Continual Learning: The World is its
  Own Replay Buffer
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer
James Smith
Jonathan C. Balloch
Yen-Chang Hsu
Z. Kira
CLL
131
35
0
23 Jan 2021
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,375
0
09 Mar 2020
Previous
12