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2D Classification

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

https://github.com/timbroed/hrfuser

공식 코드

HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection

https://github.com/timokats/research_distinguishing_commercial_and_editorial_content

공식 코드

Distinguishing Commercial from Editorial Content in News

https://github.com/timschoonbeek/industreal

공식 코드

IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting

https://github.com/timseizinger/bokehlicious

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Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures

https://github.com/timy90022/DropLoss

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DropLoss for Long-Tail Instance Segmentation

https://github.com/timy90022/One-Shot-Object-Detection

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One-Shot Object Detection with Co-Attention and Co-Excitation

https://github.com/tingxueronghua/dpke

공식 코드

Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection

https://github.com/tingyaohsu/scicap

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SciCap: Generating Captions for Scientific Figures

https://github.com/tingyu215/vacnic

공식 코드

Visually-Aware Context Modeling for News Image Captioning

https://github.com/tingz123/fha-kitchens

공식 코드

Multi-Granularity Hand Action Detection

https://github.com/tinh2044/YOLO12-UnderWater

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Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation

https://github.com/tiny-smart/SCAPE

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SCAPE: A Simple and Strong Category-Agnostic Pose Estimator

https://github.com/tiny-smart/dysample

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Learning to Upsample by Learning to Sample

https://github.com/tiny-smart/sapa

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On Point Affiliation in Feature Upsampling

https://github.com/tinyrolls/glory

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Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations

https://github.com/tinytigerpan/bckd

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Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection

https://github.com/tinyvision/damo-yolo

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DAMO-YOLO : A Report on Real-Time Object Detection Design

https://github.com/tio-ikim/cellvit

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CellViT: Vision Transformers for Precise Cell Segmentation and Classification

https://github.com/tirer-lab/cm4ir

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Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)

https://github.com/tirer-lab/ddpg

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Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance

https://github.com/tissueimageanalytics/cerberus

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One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

https://github.com/titipata/science_concierge

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Science Concierge: A fast content-based recommendation system for scientific publications

https://github.com/tjiagom/stochastic-yolo

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Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts

https://github.com/tjiiv-cprg/MonoRUn

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MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

https://github.com/tjiiv-cprg/epro-pnp

공식 코드

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

https://github.com/tjiiv-cprg/epro-pnp-v2

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EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

https://github.com/tjradarlab/tj4dradset

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TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving

https://github.com/tju-ecat-ai/automaticreviewgeneration

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Automated Review Generation Method Based on Large Language Models

https://github.com/tjubiit/TJU-DHD

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TJU-DHD: A Diverse High-Resolution Dataset for Object Detection

https://github.com/tkyen1110/tednet

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Tracking-Assisted Object Detection with Event Cameras

https://github.com/tldoan/-hyp-ow-aaai-2024-

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Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection

https://github.com/tldr-group/superres

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Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks

https://github.com/tmiu/itfa

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Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach

https://github.com/tmlabonte/weakly-supervised-DETR

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Scaling Novel Object Detection with Weakly Supervised Detection Transformers

https://github.com/tnolle/binet

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BINet: Multi-perspective Business Process Anomaly Classification

https://github.com/tobiasriedlinger/cmppp-object-detection

공식 코드

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection

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