Papers with Code 아카이브
Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 124
- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/paddlepaddle/edl
Bag of Tricks for Image Classification with Convolutional Neural Networks
https://github.com/pagand/e2etransfuser
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
https://github.com/pairlab/v-cdn
Unsupervised Learning of Object Keypoints for Perception and Control
https://github.com/panjianning/cbnet
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
https://github.com/paperswithcode/model-index
https://github.com/paperswithcode/paperswithcode-client
https://github.com/parachutel/deeplabv3plus_on_Mapillary_Vistas
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/paradisetechsoftsolutions/Deep-learning-model-using-Mask-R-CNN-for-predicting-AC-remote
https://github.com/paraficial/vae_pancreas_segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/park-cheol/ASR-DCUnet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/park-cheol/Speech_Enhancement-DCUnet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/park-cheol/Speech_Enhancement-DCUnet_With_Transformer
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/parth-shastri/YOLOv2
https://github.com/parviagrawal/IdenProf
https://github.com/patelmiteshn/darknet
https://github.com/patharanordev/background-remover
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/patientzero/timage-icann2019
https://github.com/patrick013/object-detection---yolov3
https://github.com/paulblum00/ResNet-Recreation
https://github.com/paulpanwang/Cas6D
https://github.com/paulwarkentin/tf-ssd-vgg
https://github.com/pavansai26/mish-activation-function-implementation-from-scratch
https://github.com/pawelbeza/ClothesDetectorModel
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/pb2377/Pytorch-Domain-Adaptation-via-Style-Consistency
Domain Adaptation for Object Detection via Style Consistency
https://github.com/pdoublerainbow/bisenet-tensorflow
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
https://github.com/peck94/cann-detector
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/peixianchen/dfft
https://github.com/pengboxiangshang/mobilenetv3_pytorch
https://github.com/pengrenlai/RetinaNet-tensorflow
https://github.com/pengshuang/PTQ4Protein
Post-Training Piecewise Linear Quantization for Deep Neural Networks
https://github.com/pengzhiliang/MAE-pytorch
https://github.com/pengzhou1108/RGB-N
https://github.com/perlfloccri/DeepFLEX
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
https://github.com/perslev/MultiPlanarUNet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/pesong/ssd-caffe
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.