[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
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Updated
Jul 16, 2021 - Python
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
(CVPR 2021 Oral) Open World Object Detection
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
[CVPR 2021] Self-supervised depth estimation from short sequences
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
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