241 citations · 297 across the 12 of their papers we have counts for
7 papers · 1 filter
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
Can Yaras, Peng Wang, Wei Hu +3
Over the past few years, an extensively studied phenomenon in training deep networks is the implicit bias of gradient descent towards parsimonious solutions. In this work, we inves…
A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation
Congqi Cao, Yue Lu, Peng Wang +1
Semi-supervised video anomaly detection (VAD) is a critical task in the intelligent surveillance system. However, an essential type of anomaly in VAD named scene-dependent anomaly…
MALM: Mask Augmentation based Local Matching for Food-Recipe Retrieval
Bhanu Prakash Voutharoja, Peng Wang, Lei Wang +1
Image-to-recipe retrieval is a challenging vision-to-language task of significant practical value. The main challenge of the task lies in the ultra-high redundancy in the long reci…
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
Peng Wang, Shijie Wang, Junyang Lin +5
In this work, we explore a scalable way for building a general representation model toward unlimited modalities. We release ONE-PEACE, a highly extensible model with 4B parameters…
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Haoyu Wang, Guansong Pang, Peng Wang +3
Few-shot open-set recognition (FSOR) is a challenging task of great practical value. It aims to categorize a sample to one of the pre-defined, closed-set classes illustrated by few…
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment
Wei Dong, Dawei Yan, Peng Wang
Self-supervised node representation learning aims to learn node representations from unlabelled graphs that rival the supervised counterparts. The key towards learning informative…