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/softsys4ai/FlexiBO

공식 코드

FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks

https://github.com/sohambasu07/bonejointslocalization

공식 코드

A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body

https://github.com/soleilssss/tsdetector

공식 코드

TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection

https://github.com/solicucu/siod

공식 코드

SIOD: Single Instance Annotated Per Category Per Image for Object Detection

https://github.com/solidlabnetwork/awesome-distributed-LLM

공식 코드

Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions

https://github.com/sonettoo/aerogen

공식 코드

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation

https://github.com/song-jingyu/lirafusion

공식 코드

LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection

https://github.com/songrise/clip-count

공식 코드

CLIP-Count: Towards Text-Guided Zero-Shot Object Counting

https://github.com/sony/model_optimization

공식 코드

HPTQ: Hardware-Friendly Post Training Quantization

https://github.com/sonyresearch/coala

공식 코드

COALA: A Practical and Vision-Centric Federated Learning Platform

https://github.com/sotam2369/MOD-CL

공식 코드

MOD-CL: Multi-label Object Detection with Constrained Loss

https://github.com/sotif-avlab/pesotif

공식 코드

PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios

https://github.com/soumik-kanad/diffssl

공식 코드

Do text-free diffusion models learn discriminative visual representations?

https://github.com/sourachakra/scosparc

공식 코드

Self-supervised co-salient object detection via feature correspondence at multiple scales

https://github.com/speedinghzl/CCNet

공식 코드

CCNet: Criss-Cross Attention for Semantic Segmentation

https://github.com/spengliang/did-m3d

공식 코드

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

https://github.com/spengliang/lpcg

공식 코드

Lidar Point Cloud Guided Monocular 3D Object Detection

https://github.com/spengliang/occupancym3d

공식 코드

Learning Occupancy for Monocular 3D Object Detection

https://github.com/spengliang/weakm3d

공식 코드

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection

https://github.com/spider-sense/shop

공식 코드

SHOP: A Deep Learning Based Pipeline for near Real-Time Detection of Small Handheld Objects Present in Blurry Video

https://github.com/spidernitt/sam-pm

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SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention

https://github.com/spirosmaggioros/ForestFires

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Wildfire danger prediction optimization with transfer learning

https://github.com/spravil/HyenaPixel

공식 코드

HyenaPixel: Global Image Context with Convolutions

https://github.com/srijamiya/LittleYOLO-SPP

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LittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm

https://github.com/srikarym/CCTV-Gun

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CCTV-Gun: Benchmarking Handgun Detection in CCTV Images

https://github.com/ssecv/CoLA

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CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection

https://github.com/ssecv/leno

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LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise

https://github.com/sshaoshuai/PointCloudDet3D

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From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

https://github.com/sshaoshuai/PointRCNN

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PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

https://github.com/sshige/rgbd-saliency

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RGB-D Salient Object Detection: A Survey

https://github.com/sshkhr/BigDataCup18_Submission

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Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN

https://github.com/ssloxford/short-lived-adversarial-perturbations

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SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations

https://github.com/ssloxford/they-see-me-rollin

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They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors

https://github.com/sssssuperior/vscode

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VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning

https://github.com/sssste/react

공식 코드

ReAct: Temporal Action Detection with Relational Queries

https://github.com/ssyc123/gsnet

공식 코드

Learning to Reduce Information Bottleneck for Object Detection in Aerial Images

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