Papers with Code 아카이브

2D Object Detection

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전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/anguelos/resolution_regressor

공식 코드

Efficient Annotation of Medieval Charters

https://github.com/anheidelonghu/ACNet

공식 코드

ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation

https://github.com/anindya2001/GSCEventMOD

공식 코드

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

https://github.com/anion0278/hadr

공식 코드

HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments

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

https://github.com/ankurrajw/pi-pupil-detection

공식 코드

An Embedded and Real-Time Pupil Detection Pipeline

https://github.com/anocodetest1/FPB

공식 코드

FPB: Feature Pyramid Branch for Person Re-Identification

https://github.com/anomalyllm/anomalyllm

공식 코드

AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models

https://github.com/anonymized-for-review/automatic_meningioma_grading

공식 코드

Automatic and explainable grading of meningiomas from histopathology images

https://github.com/anonymous0120/dr

공식 코드

Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

https://github.com/anonymous0519/hsod-bit

공식 코드

DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection

https://github.com/anonymous2020new/iffDetector

공식 코드

iffDetector: Inference-aware Feature Filtering for Object Detection

https://github.com/anonymous20210106/attack_detector

공식 코드

Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors

https://github.com/anonymousoodauthor/abet

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Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy

https://github.com/another-0/dmm

공식 코드

DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing

https://github.com/ansonlcy/TSceneJAL

공식 코드

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection

https://github.com/anthonymlortiz/lcn

공식 코드

Local Context Normalization: Revisiting Local Normalization

https://github.com/antmachineintelligence/mui-zh

공식 코드

Mobile User Interface Element Detection Via Adaptively Prompt Tuning

https://github.com/antoyang/TubeDETR

공식 코드

TubeDETR: Spatio-Temporal Video Grounding with Transformers

https://github.com/antxinyuan/ssp

공식 코드

Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection

https://github.com/anuragkulkarni/lidar-based_object_detection_with_real-time_voice_specifications

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LiDAR-based Object Detection with Real-time Voice Specifications

https://github.com/aoki-media-lab/event_based_segmentation_vcmax

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Iterative Event-based Motion Segmentation by Variational Contrast Maximization

https://github.com/aosokin/cnn_head_detection

공식 코드

Context-aware CNNs for person head detection

https://github.com/aosokin/os2d

공식 코드

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

https://github.com/aounon/center-smoothing

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Center Smoothing: Certified Robustness for Networks with Structured Outputs

https://github.com/apple/ARKitScenes

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ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

https://github.com/apple/ml-cvnets

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MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

https://github.com/apple/ml-dr

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Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement

https://github.com/apple/ml-mobileone

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MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/apple/ml-tune-mode-convbn

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Efficient ConvBN Blocks for Transfer Learning and Beyond

https://github.com/apple1986/residual_learning_for_images

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Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

https://github.com/applied-ai-lab/object_matching

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Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement

https://github.com/arashsajjadi/TGraphX

공식 코드

TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning

https://github.com/arashwan/matrixnet

공식 코드

MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection

https://github.com/arcaninez/odm3d

공식 코드

ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection

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