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코드

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

https://github.com/lose4578/SAM-DiffSR

공식 코드

SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution

https://github.com/lovelyqian/CDFSOD-benchmark

공식 코드

Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector

https://github.com/lovelyqian/ntire2025_cdfsod

공식 코드

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

https://github.com/lowlevelai/glare

공식 코드

GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval

https://github.com/lpj-github-io/MWCNNv2

공식 코드

Multi-level Wavelet Convolutional Neural Networks

https://github.com/lpj0/MWCNN

공식 코드

Multi-level Wavelet-CNN for Image Restoration

https://github.com/lpj0/bde

공식 코드

Robust Deep Ensemble Method for Real-world Image Denoising

https://github.com/ltzovo/damamba

공식 코드

DAMamba: Vision State Space Model with Dynamic Adaptive Scan

https://github.com/luciennnnnnn/dualformer

공식 코드

On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement

https://github.com/luckybird1994/hqsod

공식 코드

Disentangled High Quality Salient Object Detection

https://github.com/luckybird1994/mmcpf

공식 코드

Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection

https://github.com/luckybird1994/samcod

공식 코드

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

https://github.com/luigisigillo/shipinsight

공식 코드

Ship in Sight: Diffusion Models for Ship-Image Super Resolution

https://github.com/luisfelipewb/potato

공식 코드

PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects

https://github.com/luissen/esrt

공식 코드

Transformer for Single Image Super-Resolution

https://github.com/luisvargasmieles/ls-mcmc

공식 코드

The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution

https://github.com/luiszeni/Boosted-OICR

공식 코드

Distilling Knowledge from Refinement in Multiple Instance Detection Networks

https://github.com/lukasc-ch/CBinfer

공식 코드

CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams

https://github.com/lukazso/kpbms-pvdn

공식 코드

Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night

https://github.com/luluho1208/diffusion-ss3d

공식 코드

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

https://github.com/luo-z13/pointobb

공식 코드

PointOBB: Learning Oriented Object Detection via Single Point Supervision

https://github.com/luo3300612/image-captioning-DLCT

공식 코드

Dual-Level Collaborative Transformer for Image Captioning

https://github.com/luogen1996/oneteacher

공식 코드

Towards End-to-end Semi-supervised Learning for One-stage Object Detection

https://github.com/luohongming/CISR_PSI

공식 코드

Super-resolving Compressed Images via Parallel and Series Integration of Artifact Reduction and Resolution Enhancement

https://github.com/luoyadan/crb-active-3ddet

공식 코드

Exploring Active 3D Object Detection from a Generalization Perspective

https://github.com/luoyan407/gradient_adjustment

공식 코드

Learning to Minimize the Remainder in Supervised Learning

https://github.com/luping-liu/detector-guidance

공식 코드

Detector Guidance for Multi-Object Text-to-Image Generation

https://github.com/lusinlu/gradient_variance_loss

공식 코드

Gradient Variance Loss for Structure-Enhanced Image Super-Resolution

https://github.com/lutao2021/pidray

공식 코드

PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection

https://github.com/lutingwang/head

공식 코드

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

https://github.com/lutingwang/oadp

공식 코드

Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection

https://github.com/luy0222/sirst-5k

공식 코드

SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection

https://github.com/luyongxi/az-net

공식 코드

Adaptive Object Detection Using Adjacency and Zoom Prediction

https://github.com/luyukang/DCTNet

공식 코드

Depth-Cooperated Trimodal Network for Video Salient Object Detection

https://github.com/lwcver/legnet

공식 코드

LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection

https://github.com/lwcver/lwganet

공식 코드

LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks

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