Trending Research
Plan2Scene: Converting Floorplans to 3D Scenes
We address the task of converting a floorplan and a set of associated photos of a residence into a textured 3D mesh model, a task which we call Plan2Scene.
Ranked #1 on
Plan2Scene
on Rent3D++
PaddleNLP
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
OATML/Non-Parametric-Transformers
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We challenge a common assumption underlying most supervised deep learning: that a model makes a prediction depending only on its parameters and the features of a single input.
XBNet : An Extremely Boosted Neural Network
Neural networks have proved to be very robust at processing unstructured data like images, text, videos, and audio.
Ranked #1 on
Classification
on Breastcancer
EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network
xmu-xiaoma666/External-Attention-pytorch
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Recently, it has been demonstrated that the performance of a deep convolutional neural network can be effectively improved by embedding an attention module into it.
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
hkchengrex/STCN
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This paper presents a simple yet effective approach to modeling space-time correspondences in the context of video object segmentation.
Ranked #1 on
Semi-Supervised Video Object Segmentation
on DAVIS 2017 (val)
(using extra training data)
Semantic Segmentation
Semi-Supervised Video Object Segmentation
+1
FastSeq: Make Sequence Generation Faster
Transformer-based models have made tremendous impacts in natural language generation.
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning
hijkzzz/pymarl2
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Multi-Agent Reinforcement Learning (MARL) has seen revolutionary breakthroughs with its successful application to multi-agent cooperative tasks such as computer games and robot swarms.
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
On semi-supervised learning benchmarks we improve performance significantly when only 1% ImageNet labels are available, from 53. 8% to 56. 5%.
Ranked #1 on
Image Classification
on PASCAL VOC 2007
Fine-Grained Image Classification
Self-Supervised Image Classification
+3
Decision Transformer: Reinforcement Learning via Sequence Modeling
In particular, we present Decision Transformer, an architecture that casts the problem of RL as conditional sequence modeling.
Ranked #1 on
Atari Games
on Atari 2600 Pong
