https://github.com/luiscarlosgph/videosum
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Papers with Code 아카이브
Object Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/luizgh/adversarial_signatures
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/lukasc-ch/ExtendedBitPlaneCompression
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators
https://github.com/lukemelas/EfficientNet-PyTorch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/lukewenMX/RCNN_simple_detection
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/lukoucky/image_recommendation
https://github.com/lumia-group/apl
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
https://github.com/lunaproject22/rpa
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/lurenhaothu/CWMI
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/luuchung/cifar-100
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/luzerochen/MobileNet_pytorch
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/lvis-dataset/lvis-api
https://github.com/lvpengyuan/corner
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
https://github.com/lvweiwolf/efficientdet
https://github.com/lwCVer/DecoupleNet
https://github.com/lwxGitHub123/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/lwxGitHub123/openpose20200610
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/lx709/vrsbench
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
https://github.com/lxtGH/CAE
Context Autoencoder for Self-Supervised Representation Learning
https://github.com/lxtGH/GALD-DGCNet
Global Aggregation then Local Distribution in Fully Convolutional Networks
https://github.com/lxy000719/ResNet-50-pneumonia-classification
https://github.com/ly9802/DynamicAccumulatedAttentionMap
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
https://github.com/lyan62/data-curation
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
https://github.com/lyclyc52/instance_nerf
https://github.com/lycutter/deblur_sr_gan
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
https://github.com/lyffly/Segmentation_with_my_dataset
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/lyffly/YOLOv3_with_my_Dataset
https://github.com/lyk19940625/MyRFBNet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/lyqcom/2D-unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/lyqcom/aaic_swintransformerv2
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/lyqcom/convnext
https://github.com/lyqcom/deepsort
https://github.com/lyqcom/detr
Deformable DETR: Deformable Transformers for End-to-End Object Detection
https://github.com/lyqcom/efficientdet
https://github.com/lyqcom/efficientnet
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/lyqcom/fasterrcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.