research
∙
06/19/2023
UniG3D: A Unified 3D Object Generation Dataset
The field of generative AI has a transformative impact on various areas,...
share
research
∙
04/01/2023
Mask Hierarchical Features For Self-Supervised Learning
This paper shows that Masking the Deep hierarchical features is an effic...
research
∙
01/29/2023
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline
Recently, perception task based on Bird's-Eye View (BEV) representation ...
research
∙
01/19/2023
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception
Recently, the pure camera-based Bird's-Eye-View (BEV) perception removes...
research
∙
01/09/2023
Parallel Reasoning Network for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to learn how human interac...
research
∙
10/22/2022
R^2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
Document-level natural language inference (DOCNLI) is a new challenging ...
research
∙
10/13/2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
Unsupervised reinforcement learning aims at learning a generalist policy...
research
∙
10/07/2022
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization
Bayesian Optimization (BO) is a common solution to search optimal hyperp...
research
∙
09/03/2022
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies
Existing Binary Neural Networks (BNNs) mainly operate on local convoluti...
research
∙
08/30/2022
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
With the rapid development of automatic fake news detection technology, ...
research
∙
08/05/2022
Task-Balanced Distillation for Object Detection
Mainstream object detectors are commonly constituted of two sub-tasks, i...
research
∙
07/05/2022
MVP: Robust Multi-View Practice for Driving Action Localization
Distracted driving causes thousands of deaths per year, and how to apply...
research
∙
05/28/2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Self-supervised Masked Autoencoders (MAE) are emerging as a new pre-trai...
research
∙
03/11/2022
Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision
Contrastive Language-Image Pretraining (CLIP) has emerged as a novel par...
research
∙
02/21/2022
Rethinking the Zigzag Flattening for Image Reading
Sequence ordering of word vector matters a lot to text reading, which ha...
research
∙
01/18/2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Recently, self-supervised vision transformers have attracted unprecedent...
research
∙
01/16/2022
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
Unsupervised sentence embedding aims to obtain the most appropriate embe...
research
∙
10/11/2021