MiVOS[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
Stars: ✭ 302 (+297.37%)
Mask-Propagation[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.
Stars: ✭ 71 (-6.58%)
ProtoTreeProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Stars: ✭ 47 (-38.16%)
HistoGANReference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
Stars: ✭ 158 (+107.89%)
MetaBIN[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Stars: ✭ 58 (-23.68%)
RSTNetRSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)
Stars: ✭ 71 (-6.58%)
UniTrack[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
Stars: ✭ 293 (+285.53%)
InvolutionPyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].
Stars: ✭ 98 (+28.95%)
DeFMO[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
Stars: ✭ 144 (+89.47%)
HESICOfficial Code of "Deep Homography for Efficient Stereo Image Compression"[cvpr21oral]
Stars: ✭ 42 (-44.74%)
MUST-GANPytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"
Stars: ✭ 39 (-48.68%)
Im2Vec[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision
Stars: ✭ 229 (+201.32%)
SSISSingle-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral)
Stars: ✭ 32 (-57.89%)
MOONModel-Contrastive Federated Learning (CVPR 2021)
Stars: ✭ 93 (+22.37%)
Context-Aware-ConsistencySemi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
Stars: ✭ 121 (+59.21%)
semantic-guidanceCode for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.
Stars: ✭ 19 (-75%)
RfDNetImplementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
Stars: ✭ 150 (+97.37%)
MIST VADOfficial codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"
Stars: ✭ 52 (-31.58%)
FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
Stars: ✭ 48 (-36.84%)
Siammask[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
Stars: ✭ 3,205 (+4117.11%)
RainNet[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
Stars: ✭ 125 (+64.47%)
EgoNetOfficial project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Stars: ✭ 111 (+46.05%)
BCNetDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Stars: ✭ 434 (+471.05%)
CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Stars: ✭ 139 (+82.89%)
anchor-diff-VOSAnchor Diffusion for Unsupervised Video Object Segmentation
Stars: ✭ 113 (+48.68%)
Scan2Cap[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Stars: ✭ 81 (+6.58%)
AODAOfficial implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)
Stars: ✭ 44 (-42.11%)
GIS-RAmapPytorch implementation of CVPR2021 oral paper (best paper candidate), "Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps"
Stars: ✭ 36 (-52.63%)
LPDC-NetCVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"
Stars: ✭ 27 (-64.47%)
cfvqa[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
Stars: ✭ 96 (+26.32%)
efficient-annotation-cookbookOfficial implementation of "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets" (CVPR2021)
Stars: ✭ 54 (-28.95%)
CVPR2021 PLOPOfficial code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation
Stars: ✭ 102 (+34.21%)
HandMeshNo description or website provided.
Stars: ✭ 258 (+239.47%)
lecam-ganRegularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
Stars: ✭ 127 (+67.11%)
BLIPOfficial Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving
Stars: ✭ 33 (-56.58%)
DCNetDense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021
Stars: ✭ 113 (+48.68%)
SkeletonMergerCode repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.
Stars: ✭ 49 (-35.53%)
LBYLNet[CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.
Stars: ✭ 46 (-39.47%)
cvpr-buzz🐝 Explore Trending Papers at CVPR
Stars: ✭ 37 (-51.32%)
TVRTransformation Driven Visual Reasoning - CVPR 2021
Stars: ✭ 24 (-68.42%)
SiamMaskCppC++ Implementation of SiamMask
Stars: ✭ 92 (+21.05%)
CondenseNetV2[CVPR 2021] CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Stars: ✭ 73 (-3.95%)
HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (-14.47%)
RSCD[CVPR2021] Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
Stars: ✭ 83 (+9.21%)
LabelRelaxation-CVPR21Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021
Stars: ✭ 37 (-51.32%)
AMP-RegularizerCode for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Stars: ✭ 26 (-65.79%)
GraphMemVOSVideo Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)
Stars: ✭ 92 (+21.05%)
SGGpoint[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)
Stars: ✭ 41 (-46.05%)
soft-intro-vae-pytorch[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Stars: ✭ 170 (+123.68%)
e-osvosImplementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).
Stars: ✭ 31 (-59.21%)
SCALEOfficial implementation of "SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements", CVPR 2021 https://arxiv.org/abs/2104.07660
Stars: ✭ 115 (+51.32%)