neurips-2021 topic
Contrastive-Learning-with-Non-Semantic-Negatives
Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
STCN
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
dense-ulearn-vos
Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)
ShapeFromBlur
[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
pcan
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
DeceiveD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Cost-Aggregation-transformers
Official implementation of CATs
panoptic-reconstruction
Official implementation of the NeurIPS 2021 paper "Panoptic 3D Scene Reconstruction from a Single RGB Image"
SoCo
[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning
score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)