Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/alyasltd/conformal_runway_detection

공식 코드

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP

https://github.com/amajee11us/smile-fsod

공식 코드

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection

https://github.com/amathislab/poet

공식 코드

End-to-End Trainable Multi-Instance Pose Estimation with Transformers

https://github.com/amazon-research/bigdetection

공식 코드

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

https://github.com/amazon-research/few-shot-object-detection-benchmark

공식 코드

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

https://github.com/amazon-research/network-deconvolution-pp

공식 코드

Exploiting Invariance in Training Deep Neural Networks

https://github.com/amazon-research/omni-detr

공식 코드

Omni-DETR: Omni-Supervised Object Detection with Transformers

https://github.com/amazon-research/progressive-coordinate-transforms

공식 코드

Progressive Coordinate Transforms for Monocular 3D Object Detection

https://github.com/amazon-science/object-centric-multiple-object-tracking

공식 코드

Object-Centric Multiple Object Tracking

https://github.com/amazon-science/prompt-pretraining

공식 코드

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition

https://github.com/ameroyer/ODGI

공식 코드

Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios

https://github.com/aminebdj/openyolo3d

공식 코드

Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

https://github.com/amingwu/up-fsod

공식 코드

Universal-Prototype Enhancing for Few-Shot Object Detection

https://github.com/amingwu/vdd-daod

공식 코드

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

https://github.com/amirbar/detreg

공식 코드

DETReg: Unsupervised Pretraining with Region Priors for Object Detection

https://github.com/amirbar/visual_prompting

공식 코드

Visual Prompting via Image Inpainting

https://github.com/ammarlodhi255/YOLOv10-Fracture-Detection

공식 코드

Pediatric Wrist Fracture Detection in X-rays via YOLOv10 Algorithm and Dual Label Assignment System

https://github.com/ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation

공식 코드

Enhancing Wrist Fracture Detection with YOLO

https://github.com/amy-choi/AttackDefenseYOLO

공식 코드

Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios

https://github.com/anaerovane/lrsaa

공식 코드

Large-scale Remote Sensing Image Target Recognition and Automatic Annotation

https://github.com/anasibrahim/ctl_classification

공식 코드

Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping

https://github.com/andreaceccarelli/metrics_model

공식 코드

Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures

https://github.com/andrealoddo/blueBackgroundSeedsSegmenter

공식 코드

A new automatic approach to seed image analysis: From acquisition to segmentation

https://github.com/andreluizbvs/PLAD

공식 코드

STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images

https://github.com/andreluizbvs/insplad

공식 코드

InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images

https://github.com/andreped/livermask

공식 코드

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

https://github.com/andrespulido8/sonar_sparse_point_cloud

공식 코드

Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object Detection

https://github.com/angknpng/lafb

공식 코드

Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection

https://github.com/angknpng/pcnet

공식 코드

Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network

https://github.com/angknpng/sacnet

공식 코드

Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark

https://github.com/angknpng/sammese

공식 코드

Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance

https://github.com/angknpng/unisod

공식 코드

Unified-modal Salient Object Detection via Adaptive Prompt Learning

https://github.com/anguelos/resolution_regressor

공식 코드

Efficient Annotation of Medieval Charters

https://github.com/anindya2001/GSCEventMOD

공식 코드

Moving Object Detection for Event-based vision using Graph Spectral Clustering

https://github.com/anishmadan23/foundational_fsod

공식 코드

Revisiting Few-Shot Object Detection with Vision-Language Models

https://github.com/aniskoubaa/psu-car-dataset

공식 코드

Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.