DeFMO[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
Stars: ✭ 144 (+19.01%)
CVPR2021 PLOPOfficial code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation
Stars: ✭ 102 (-15.7%)
AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Stars: ✭ 382 (+215.7%)
HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (-46.28%)
Cct[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.
Stars: ✭ 171 (+41.32%)
ST-PlusPlus[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Stars: ✭ 168 (+38.84%)
Usss iccv19Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
Stars: ✭ 57 (-52.89%)
DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (-19.01%)
SemiSeg-AELSemi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
Stars: ✭ 79 (-34.71%)
ssdg-benchmarkBenchmarks for semi-supervised domain generalization.
Stars: ✭ 46 (-61.98%)
flexinferA flexible Python front-end inference SDK based on TensorRT
Stars: ✭ 83 (-31.4%)
deeplabv3plus-kerasdeeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Stars: ✭ 67 (-44.63%)
atomaiDeep and Machine Learning for Microscopy
Stars: ✭ 77 (-36.36%)
JCLALJCLAL is a general purpose framework developed in Java for Active Learning.
Stars: ✭ 22 (-81.82%)
pyprophetPyProphet: Semi-supervised learning and scoring of OpenSWATH results.
Stars: ✭ 23 (-80.99%)
temporal-depth-segmentationSource code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Stars: ✭ 20 (-83.47%)
DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
Stars: ✭ 38 (-68.6%)
MetaBIN[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Stars: ✭ 58 (-52.07%)
Automated-objects-removal-inpainterAutomated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos
Stars: ✭ 88 (-27.27%)
ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Stars: ✭ 60 (-50.41%)
MiVOS[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!
Stars: ✭ 302 (+149.59%)
efficient-annotation-cookbookOfficial implementation of "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets" (CVPR2021)
Stars: ✭ 54 (-55.37%)
AttaNetAttaNet for real-time semantic segmentation.
Stars: ✭ 37 (-69.42%)
InvolutionPyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].
Stars: ✭ 98 (-19.01%)
adversarial-attacksCode for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Stars: ✭ 90 (-25.62%)
panoptic-forecasting[CVPR 2021] Forecasting the panoptic segmentation of future video frames
Stars: ✭ 44 (-63.64%)
RfDNetImplementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
Stars: ✭ 150 (+23.97%)
SPMLUniversal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Stars: ✭ 81 (-33.06%)
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (-12.4%)
StereoNetA customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"
Stars: ✭ 107 (-11.57%)
BLIPOfficial Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving
Stars: ✭ 33 (-72.73%)
ProtoTreeProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Stars: ✭ 47 (-61.16%)
MobileUNETU-NET Semantic Segmentation model for Mobile
Stars: ✭ 39 (-67.77%)
kitti deeplabInference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
Stars: ✭ 26 (-78.51%)
TF SemanticSegmentationSemantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.
Stars: ✭ 26 (-78.51%)
DCNetDense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021
Stars: ✭ 113 (-6.61%)
semantic-guidanceCode for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.
Stars: ✭ 19 (-84.3%)
SkeletonMergerCode repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.
Stars: ✭ 49 (-59.5%)
Fast-SCNN pytorchA PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
Stars: ✭ 30 (-75.21%)
semi-memoryTensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
Stars: ✭ 49 (-59.5%)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
Stars: ✭ 429 (+254.55%)
HESICOfficial Code of "Deep Homography for Efficient Stereo Image Compression"[cvpr21oral]
Stars: ✭ 42 (-65.29%)
cvpr-buzz🐝 Explore Trending Papers at CVPR
Stars: ✭ 37 (-69.42%)
deviation-networkSource code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
Stars: ✭ 94 (-22.31%)
squeeze-unetSqueeze-unet Semantic Segmentation for embedded devices
Stars: ✭ 21 (-82.64%)
EC-GANEC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
Stars: ✭ 29 (-76.03%)
FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
Stars: ✭ 48 (-60.33%)
wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
Stars: ✭ 32 (-73.55%)