most citedResponse-based Distillation for Incremental Object Detection

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Progressive Learning without Forgetting

Tao Feng, Hangjie Yuan, Mang Wang +3

Learning from changing tasks and sequential experience without forgetting the obtained knowledge is a challenging problem for artificial neural networks. In this work, we focus on…

cs.CV2022

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

Tao Feng, Mang Wang, Hangjie Yuan

Traditional object detectors are ill-equipped for incremental learning. However, fine-tuning directly on a well-trained detection model with only new data will lead to catastrophic…

cs.CV2022

Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics

Hangjie Yuan, Mang Wang, Dong Ni +1

Human-Object Interaction (HOI) detection is an essential task to understand human-centric images from a fine-grained perspective. Although end-to-end HOI detection models thrive, t…

cs.CV20213 cited

Response-based Distillation for Incremental Object Detection

Tao Feng, Mang Wang

Traditional object detection are ill-equipped for incremental learning. However, fine-tuning directly on a well-trained detection model with only new data will leads to catastrophi…

cs.CV2021

Spatio-Temporal Dynamic Inference Network for Group Activity Recognition

Hangjie Yuan, Dong Ni, Mang Wang

Group activity recognition aims to understand the activity performed by a group of people. In order to solve it, modeling complex spatio-temporal interactions is the key. Previous…