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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tztztztztz/eqlv2
공식 코드Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
https://github.com/ubamba98/EAD2020
공식 코드Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection
https://github.com/uber-research/permute-quantize-finetune
공식 코드Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
https://github.com/uber/sbnet
공식 코드https://github.com/ucas-gyx/youtube-gdd
공식 코드YouTube-GDD: A challenging gun detection dataset with rich contextual information
https://github.com/ucas-vg/TinyBenchmark
공식 코드https://github.com/ucas-vg/p2bnet
공식 코드Point-to-Box Network for Accurate Object Detection via Single Point Supervision
https://github.com/ucas-vg/pointtinybenchmark
공식 코드Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes
https://github.com/ucbdrive/few-shot-object-detection
공식 코드https://github.com/ucla-mobility/v2v4real
공식 코드V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
https://github.com/ucr-robotics/citrus-farm-dataset
공식 코드Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms
https://github.com/uddd821/hv-bev
공식 코드HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection
https://github.com/uestc-nnlab/tridos
공식 코드https://github.com/uestc-nnlab/wecol
공식 코드https://github.com/uf-aiaos/shinyanimalcv
공식 코드https://github.com/ufukertenli/streamdeq-code
공식 코드https://github.com/um-dsrg/Super-Resolution-Meta-Attention-Networks
공식 코드Improving Super-Resolution Performance using Meta-Attention Layers
https://github.com/um-dsrg/rumpy
공식 코드https://github.com/umautobots/driving-in-the-matrix
공식 코드Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
https://github.com/umd-fire-coml/kitti-orientation-learning
공식 코드SoK: Vehicle Orientation Representations for Deep Rotation Estimation
https://github.com/unibwtas/yolopoint
공식 코드https://github.com/unique-chan/nbbox
공식 코드NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection
https://github.com/uobinxiao/SparseTableDet
공식 코드https://github.com/update-for-integrated-business-ai/coru
공식 코드CORU: Comprehensive Post-OCR Parsing and Receipt Understanding Dataset
https://github.com/urmagicsmine/MP3D
공식 코드https://github.com/urmagicsmine/MVP-Net
공식 코드MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
https://github.com/urmagicsmine/cspr
공식 코드https://github.com/usama-x930/vt-lpr
공식 코드Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
https://github.com/usman1021/fusion
공식 코드A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution
https://github.com/usman1021/lightweight
공식 코드https://github.com/usp-lrm/dcme
공식 코드Distance to Center of Mass Encoding for Instance Segmentation
https://github.com/ustc-imcl/hst-for-compressed-image-sr
공식 코드HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
https://github.com/ustclby/Unsupervised-Domain-Specific-Deblurring
공식 코드Unsupervised Domain-Specific Deblurring via Disentangled Representations
https://github.com/ut-amrl/coda-devkit
공식 코드Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
https://github.com/ut-amrl/coda-models
공식 코드Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.