论文/代码速递2022.11.1!
最新成果demo展示:
标题:MuLUT: Cooperating Mulitple Look-Up Tables for Efficient Image Super-Resolution
最新论文整理
ECCV2022
Updated on : 1 Nov 2022
total number : 3
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
论文/Paper: http://arxiv.org/pdf/2210.17400
代码/Code: https://github.com/deepplants/vit-pcm
Generative Negative Text Replay for Continual Vision-Language Pretraining
论文/Paper: http://arxiv.org/pdf/2210.17322
代码/Code: None
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection
论文/Paper: http://arxiv.org/pdf/2210.16897
代码/Code: https://github.com/zs123-lang/tenet
CVPR2022
NeurIPS
Updated on : 1 Nov 2022
total number : 10
Deep Model Reassembly
论文/Paper: http://arxiv.org/pdf/2210.17409
代码/Code: https://github.com/Adamdad/DeRy
Unified Optimal Transport Framework for Universal Domain Adaptation
论文/Paper: http://arxiv.org/pdf/2210.17067
代码/Code: https://github.com/changwxx/uniot-for-unida
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
论文/Paper: http://arxiv.org/pdf/2210.16834
代码/Code: https://github.com/kikimormay/fsl-tcbr
Towards Versatile Embodied Navigation
论文/Paper: http://arxiv.org/pdf/2210.16822
代码/Code: https://github.com/hanqingwangai/VXN
SL3D: Self-supervised-Self-labeled 3D Recognition
论文/Paper: http://arxiv.org/pdf/2210.16810
代码/Code: https://github.com/fcendra/sl3d
Dataset Distillation via Factorization
论文/Paper: http://arxiv.org/pdf/2210.16774
代码/Code: https://github.com/huage001/datasetfactorization
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
论文/Paper: http://arxiv.org/pdf/2210.16646
代码/Code: None
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
论文/Paper: http://arxiv.org/pdf/2210.16486
代码/Code: https://github.com/point0bar1/hat-ebm
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images
论文/Paper: http://arxiv.org/pdf/2210.16457
代码/Code: https://github.com/cyMichael/ROI_Detection
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
论文/Paper: http://arxiv.org/pdf/2210.16472
代码/Code: None