Papers with Code 아카이브

2D Object Detection

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하위 태스크

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평가표

20

보존된 평가 기록

57

코드

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

https://github.com/stanfordmimi/villa

공식 코드

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data

https://github.com/stardist/stardist

공식 코드

Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy

https://github.com/startracker0/physaug

공식 코드

PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection

https://github.com/stevekola/sign-to-speech-for-sign-language-understanding

공식 코드

Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language

https://github.com/steven-lang/dafne

공식 코드

DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection

https://github.com/stevengrove/vtpack

공식 코드

Dynamic Grained Encoder for Vision Transformers

https://github.com/stevenlauhkhk/large-separable-kernel-attention

공식 코드

Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN

https://github.com/stevetsui/ida-det

공식 코드

IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors

https://github.com/stevetsui/q-detr

공식 코드

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer

https://github.com/stevetsui/rbonn

공식 코드

Recurrent Bilinear Optimization for Binary Neural Networks

https://github.com/stevewongv/sparse2dense

공식 코드

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection

https://github.com/sthalles/clove

공식 코드

Self-supervised Learning of Contextualized Local Visual Embeddings

https://github.com/stiphyjay/lidar-ptq

공식 코드

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection

https://github.com/stogiannidis/srbench

공식 코드

Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models

https://github.com/stormyoung/PRAI-1581

공식 코드

Person Re-identification in Aerial Imagery

https://github.com/strongwolf/dw

공식 코드

A Dual Weighting Label Assignment Scheme for Object Detection

https://github.com/sty61010/crossdtr

공식 코드

CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection

https://github.com/sudo-Boris/mr-Blip

공식 코드

The Surprising Effectiveness of Multimodal Large Language Models for Video Moment Retrieval

https://github.com/suhaisheng/robosense

공식 코드

RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments

https://github.com/sullichrosu/njobvu-ai

공식 코드

Njobvu-AI: An open-source tool for collaborative image labeling and implementation of computer vision models

https://github.com/sumanyumuku98/contextual-bias

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Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias

https://github.com/sunanhe/mkt

공식 코드

Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer

https://github.com/sunh18/monosim

공식 코드

MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection

https://github.com/sunjiahao1999/spformer

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Superpoint Transformer for 3D Scene Instance Segmentation

https://github.com/sunpeng1996/DSA2F

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Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion

https://github.com/sunshenggu/xc_eval_pcdet

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XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection

https://github.com/sunsmarterjie/SDL-Skeleton

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Adaptive Linear Span Network for Object Skeleton Detection

https://github.com/sunsmarterjie/itpn

공식 코드

Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration

https://github.com/suojiashun/hit-uav-infrared-thermal-dataset

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HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

https://github.com/supermhp/gupnet

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Geometry Uncertainty Projection Network for Monocular 3D Object Detection

https://github.com/supermhp/gupnet_plus

공식 코드

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection

https://github.com/supernlogn/squeezeDetTL

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A Framework of Transfer Learning in Object Detection for Embedded Systems

https://github.com/superstar1225/DensePose_from_WiFi

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DensePose From WiFi

https://github.com/superz678/mg-had

공식 코드

Multi-Granularity Hand Action Detection

https://github.com/suprosanna/relationformer

공식 코드

Relationformer: A Unified Framework for Image-to-Graph Generation

https://github.com/surajkothawade/talisman

공식 코드

TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information

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