https://github.com/nicolaihaeni/MinneApple
공식 코드MinneApple: A Benchmark Dataset for Apple Detection and Segmentation
Papers with Code 아카이브
Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nifangbaage/explicit-visual-prompt
공식 코드Explicit Visual Prompting for Low-Level Structure Segmentations
https://github.com/nightkeepers/ci-ssod
공식 코드Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
https://github.com/nightmare-n/graphrcnn
공식 코드Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
https://github.com/nightsnack/YOLObile
공식 코드YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
https://github.com/nikhel1/gal-deformable-detr
공식 코드https://github.com/nikhel1/gal-detr
공식 코드https://github.com/nikhel1/gal-dino
공식 코드https://github.com/niko-k98/awesome-list-federated-learning-review
공식 코드Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
https://github.com/nikolajkb/furiganadetection
공식 코드https://github.com/nish03/ffs
공식 코드Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
https://github.com/nizhenliang/Dual-Relation-Knowledge-Distillation
공식 코드https://github.com/njohnson99/slice-discovery-human-eval
공식 코드Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
https://github.com/nkotani/pointanywhere
공식 코드Point Anywhere: Directed Object Estimation from Omnidirectional Images
https://github.com/nkusyl/evit
공식 코드EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
https://github.com/nmaac/acon
공식 코드https://github.com/nmndeep/robust-segmentation
공식 코드Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
https://github.com/nnizhang/SMAC
공식 코드Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection
https://github.com/nnizhang/cadc
공식 코드Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
https://github.com/noahcao/OC_SORT
공식 코드Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
https://github.com/nobukatsu-kajiura/UR-COD
공식 코드Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels
https://github.com/nocaps-org/updown-baseline
공식 코드https://github.com/noelshin/selfmask
공식 코드Unsupervised Salient Object Detection with Spectral Cluster Voting
https://github.com/nomiaro/OPA
공식 코드Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection
https://github.com/noreenanwar/stf-module
공식 코드STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
https://github.com/norlab-ulaval/mask_bev
공식 코드MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds
https://github.com/norlab-ulaval/perceptreev1
공식 코드Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
https://github.com/northsummer/lgkd
공식 코드BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection
https://github.com/notmahi/bet
공식 코드https://github.com/novelmartis/early-vs-late-multi-task
공식 코드Modulation of early visual processing alleviates capacity limits in solving multiple tasks
https://github.com/nqanh/affordance-net
공식 코드AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
https://github.com/nsavinov/semantic3dnet
공식 코드Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
https://github.com/nuaacj/mpi
공식 코드MPI: Multi-receptive and Parallel Integration for Salient Object Detection
https://github.com/nuaayh/agnet
공식 코드Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
https://github.com/nuaayh/mscnet
공식 코드https://github.com/nullmax-vision/qaf2d
공식 코드Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.