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/griffbr/ODMD

공식 코드

Depth from Camera Motion and Object Detection

https://github.com/griffbr/tfod

공식 코드

Mobile Robot Manipulation using Pure Object Detection

https://github.com/grigorisg9gr/polynomials-for-augmenting-nns

공식 코드

Augmenting Deep Classifiers with Polynomial Neural Networks

https://github.com/grispeut/Feature-Alignment

공식 코드

Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection

https://github.com/grispeut/udfa

공식 코드

Robust and Accurate Object Detection via Self-Knowledge Distillation

https://github.com/grokcv/groksar

공식 코드

DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images

https://github.com/grokcv/hazydet

공식 코드

HazyDet: Open-source Benchmark for Drone-view Object Detection with Depth-cues in Hazy Scenes

https://github.com/gsavathrakis/enact

공식 코드

ENACT: Entropy-based Clustering of Attention Input for Improving the Computational Performance of Object Detection Transformers

https://github.com/gtzly/FADNet

공식 코드

Monocular 3D Object Detection with Sequential Feature Association and Depth Hint Augmentation

https://github.com/guang-yng/completeOMR

공식 코드

Toward a More Complete OMR Solution

https://github.com/guangxinghan/fct

공식 코드

Few-Shot Object Detection with Fully Cross-Transformer

https://github.com/guangxinghan/meta-faster-r-cnn

공식 코드

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

https://github.com/guanlongzhao/dehaze

공식 코드

Improved Techniques for Learning to Dehaze and Beyond: A Collective Study

https://github.com/guanrunwei/asy-vrnet

공식 코드

ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar

https://github.com/guanw-pku/oed

공식 코드

OED: Towards One-stage End-to-End Dynamic Scene Graph Generation

https://github.com/guanxiongsun/stpn

공식 코드

Spatio-temporal Prompting Network for Robust Video Feature Extraction

https://github.com/guanxiongsun/vfe.pytorch

공식 코드

MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection

https://github.com/gudovskiy/e2x

공식 코드

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

https://github.com/gudovskiy/fmap_compression

공식 코드

DNN Feature Map Compression using Learned Representation over GF(2)

https://github.com/guhuangai/ddm-public

공식 코드

Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation

https://github.com/guhuangai/diffusionedge

공식 코드

DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection

https://github.com/gujiaqivadin/HomographyLoss

공식 코드

Homography Loss for Monocular 3D Object Detection

https://github.com/guo-research-group/ct-bound

공식 코드

CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks

https://github.com/guobaoxiao/comprompter

공식 코드

COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection

https://github.com/guobaoxiao/dsam

공식 코드

Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection

https://github.com/guotaowang/STVS

공식 코드

Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection

https://github.com/guotong1988/Automatic-Label-Error-Correction

공식 코드

The Re-Label Method For Data-Centric Machine Learning

https://github.com/gwenzhang/GGA

공식 코드

General Geometry-aware Weakly Supervised 3D Object Detection

https://github.com/gwenzhang/voxel-mamba

공식 코드

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

https://github.com/gwxuan/tsp3d

공식 코드

Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding

https://github.com/gy65896/fvessel

공식 코드

Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

https://github.com/gyauney/domain-specific-lexical-grounding

공식 코드

Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents

https://github.com/gyguo/pixeldistillation

공식 코드

Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition

https://github.com/gyhandy/3d-copy-paste

공식 코드

3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection

https://github.com/gyhandy/neural-sim-nerf

공식 코드

Neural-Sim: Learning to Generate Training Data with NeRF

https://github.com/gyhandy/text2image-for-detection

공식 코드

Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation

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