research
∙
04/19/2023
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
Perception systems in modern autonomous driving vehicles typically take ...
share
research
∙
04/03/2023
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
Safety is the primary priority of autonomous driving. Nevertheless, no p...
research
∙
03/30/2023
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Contrastive learning methods train visual encoders by comparing views fr...
research
∙
06/16/2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Despite the considerable progress in automatic abdominal multi-organ seg...
research
∙
05/26/2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Although the pre-trained Vision Transformers (ViTs) achieved great succe...
research
∙
02/16/2022
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
Vision Transformers (ViTs) take all the image patches as tokens and cons...
research
∙
10/11/2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Studies on self-supervised visual representation learning (SSL) improve ...
research
∙
07/21/2021
CycleMLP: A MLP-like Architecture for Dense Prediction
This paper presents a simple MLP-like architecture, CycleMLP, which is a...
research
∙
03/17/2021
Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
Image virtual try-on replaces the clothes on a person image with a desir...
research
∙
03/08/2021
