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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes

코드

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

https://github.com/nirat1606/oadis

공식 코드

Disentangling Visual Embeddings for Attributes and Objects

https://github.com/niro-a/daeiocbpvgnn

공식 코드

Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks

https://github.com/nish03/ffs

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Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection

https://github.com/nizhenliang/Dual-Relation-Knowledge-Distillation

공식 코드

Dual Relation Knowledge Distillation for Object Detection

https://github.com/nizhf/hoi-prediction-gaze-transformer

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Human-Object Interaction Prediction in Videos through Gaze Following

https://github.com/nkotani/pointanywhere

공식 코드

Point Anywhere: Directed Object Estimation from Omnidirectional Images

https://github.com/nnn-s/catdiffusion

공식 코드

Improving Text-guided Object Inpainting with Semantic Pre-inpainting

https://github.com/noahcao/OC_SORT

공식 코드

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

https://github.com/nocaps-org/updown-baseline

공식 코드

nocaps: novel object captioning at scale

https://github.com/noelshin/namedmask

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NamedMask: Distilling Segmenters from Complementary Foundation Models

https://github.com/noelshin/selfmask

공식 코드

Unsupervised Salient Object Detection with Spectral Cluster Voting

https://github.com/nomiaro/OPA

공식 코드

Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection

https://github.com/norlab-ulaval/mask_bev

공식 코드

MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds

https://github.com/noyzzz/emap

공식 코드

Ego-Motion Aware Target Prediction Module for Robust Multi-Object Tracking

https://github.com/npucvr/wscuod

공식 코드

Weakly-supervised Contrastive Learning for Unsupervised Object Discovery

https://github.com/nqanh/affordance-net

공식 코드

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

https://github.com/nttcslab/soundsil-ds

공식 코드

SoundSil-DS: Deep Denoising and Segmentation of Sound-field Images with Silhouettes

https://github.com/nuaacj/mpi

공식 코드

MPI: Multi-receptive and Parallel Integration for Salient Object Detection

https://github.com/nubot-nudt/insmos

공식 코드

InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data

https://github.com/nullmax-vision/qaf2d

공식 코드

Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors

https://github.com/nuoxu/akgvp

공식 코드

Aligning Knowledge Graph with Visual Perception for Object-goal Navigation

https://github.com/nusneuromorphic/cEOT

공식 코드

A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems

https://github.com/nust-machine-intelligence-laboratory/i2crc

공식 코드

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation

https://github.com/nust-machine-intelligence-laboratory/ktse

공식 코드

Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation

https://github.com/nust-machine-intelligence-laboratory/pkinet

공식 코드

Poly Kernel Inception Network for Remote Sensing Detection

https://github.com/nust-machine-intelligence-laboratory/ssc

공식 코드

Spatial Structure Constraints for Weakly Supervised Semantic Segmentation

https://github.com/nutonomy/second.pytorch

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PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/nv-nguyen/cnos

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CNOS: A Strong Baseline for CAD-based Novel Object Segmentation

https://github.com/nv-nguyen/nope

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NOPE: Novel Object Pose Estimation from a Single Image

https://github.com/nvlabs/al-mdn

공식 코드

Active Learning for Deep Object Detection via Probabilistic Modeling

https://github.com/nvlabs/partpacker

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Efficient Part-level 3D Object Generation via Dual Volume Packing

https://github.com/nvlabs/semples

공식 코드

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation

https://github.com/nvlabs/watch-it-move

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Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects

https://github.com/object-understanding/slash

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Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning

https://github.com/obss/sahi

공식 코드

Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

https://github.com/ocean146/SimROD

공식 코드

SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements

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