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Transformers

10,397 papers

Papers per year

6
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Papers

HRFormer: High-Resolution Vision Transformer for Dense Predict NIPS 2021
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation NIPS 2021
Learning to Elect NIPS 2021
Relational Self-Attention: What's Missing in Attention for Video Understanding NIPS 2021
Scaling Vision with Sparse Mixture of Experts NIPS 2021
Searching the Search Space of Vision Transformer NIPS 2021
CATs: Cost Aggregation Transformers for Visual Correspondence NIPS 2021
Integrating Tree Path in Transformer for Code Representation NIPS 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers NIPS 2021
Compositional Transformers for Scene Generation NIPS 2021
TriBERT: Human-centric Audio-visual Representation Learning NIPS 2021
Sparse is Enough in Scaling Transformers NIPS 2021
Kernel Identification Through Transformers NIPS 2021
Dynamic Inference with Neural Interpreters NIPS 2021
Shifted Chunk Transformer for Spatio-Temporal Representational Learning NIPS 2021
Detecting Moments and Highlights in Videos via Natural Language Queries NIPS 2021
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition NIPS 2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis NIPS 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers NIPS 2021
Do Vision Transformers See Like Convolutional Neural Networks? NIPS 2021
TokenLearner: Adaptive Space-Time Tokenization for Videos NIPS 2021
Glance-and-Gaze Vision Transformer NIPS 2021
Representing Long-Range Context for Graph Neural Networks with Global Attention NIPS 2021
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution NIPS 2021
Video Instance Segmentation using Inter-Frame Communication Transformers NIPS 2021