T-SBT

NEC

JapanKanagawa

Pinned Repositories

COCO-ROT
This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).
Language:Python0 2 01
DET_AFP
This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).
Language:Python3 2 01
Learning-with-Selective-Forgetting
This is an official PyTorch impelementation of our paper "Learning with Selective Forgetting" (IJCAI21).
Language:Python7 2 02
Augmented-Feature-Pooling
This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).
Language:Python0 0 00
Augmented-Feature-Pooling-COCO-ROT
This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).
Language:Python0 0 00
awesome-multiple-object-tracking
Resources for Multiple Object Tracking (MOT)
0 0 00
Generalized-Domain-Adaptation
This is the official PyTorch impelementation of "Generalized Domain Adaptation" (CVPR2021), forked from nttcslab/Generalized-Domain-Adaptation.
Language:Python0 0 00
gnc_homography
An official MATLAB implementation of the paper "Fast and Robust Homography Estimation by Adaptive Graduated Non-Convexity"(ICIP2019) forked from g9nkn/gnc_homography.
Language:MATLAB0 0 00
Learning-with-Selective-Forgetting
This is the official PyTorch impelementation of our paper "Learning with Selective Forgetting (IJCAI2021)".
Language:Python00
Awesome-Incremental-Learning
Awesome Incremental Learning
3.9k 133 49578

T-SBT's Repositories

T-SBT/Augmented-Feature-Pooling
This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).
Language:Python0 0 00
T-SBT/Augmented-Feature-Pooling-COCO-ROT
This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).
Language:Python0 0 00
T-SBT/awesome-multiple-object-tracking
Resources for Multiple Object Tracking (MOT)
0 0 00
T-SBT/Generalized-Domain-Adaptation
This is the official PyTorch impelementation of "Generalized Domain Adaptation" (CVPR2021), forked from nttcslab/Generalized-Domain-Adaptation.
Language:Python0 0 00
T-SBT/gnc_homography
An official MATLAB implementation of the paper "Fast and Robust Homography Estimation by Adaptive Graduated Non-Convexity"(ICIP2019) forked from g9nkn/gnc_homography.
Language:MATLAB0 0 00
T-SBT/Learning-with-Selective-Forgetting
This is the official PyTorch impelementation of our paper "Learning with Selective Forgetting (IJCAI2021)".
Language:Python00

T-SBT

Pinned Repositories

COCO-ROT

DET_AFP

Learning-with-Selective-Forgetting

Augmented-Feature-Pooling

Augmented-Feature-Pooling-COCO-ROT

awesome-multiple-object-tracking

Generalized-Domain-Adaptation

gnc_homography

Learning-with-Selective-Forgetting

Awesome-Incremental-Learning

T-SBT's Repositories

T-SBT/Augmented-Feature-Pooling

T-SBT/Augmented-Feature-Pooling-COCO-ROT

T-SBT/awesome-multiple-object-tracking

T-SBT/Generalized-Domain-Adaptation

T-SBT/gnc_homography

T-SBT/Learning-with-Selective-Forgetting