https://github.com/edadaltocg/detectors
공식 코드Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Papers with Code 아카이브
Image Classification
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Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/edadaltocg/igeood
공식 코드Igeood: An Information Geometry Approach to Out-of-Distribution Detection
https://github.com/edadaltocg/ood-trajectory-projection
공식 코드A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
https://github.com/edadaltocg/relative-uncertainty
공식 코드A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
https://github.com/edchengg/oven_eval
공식 코드Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
https://github.com/eddardd/PyDiL
공식 코드https://github.com/eden500/Noisy-Labels-Instance-Segmentation
공식 코드Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters
https://github.com/edenton/cc-gan
공식 코드Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
https://github.com/editable-ICLR2020/editable
공식 코드https://github.com/edornd/contrastive-distillation
공식 코드A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images
https://github.com/edouardoyallon/interferometric-graph-transform
공식 코드Interferometric Graph Transform: a Deep Unsupervised Graph Representation
https://github.com/edouardoyallon/pyscatwave
공식 코드https://github.com/edouardoyallon/scalingscattering
공식 코드https://github.com/edw2n/imagenet-es
공식 코드https://github.com/edwardchasel/spatial-mamba
공식 코드Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
https://github.com/edwardmilsom/skr_cdkm
공식 코드Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
https://github.com/eerdil/task_agnostic_ood
공식 코드Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation
https://github.com/eg-booster/code
공식 코드EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
https://github.com/eglxiang/FacialAU
공식 코드Linear Disentangled Representation Learning for Facial Actions
https://github.com/eglxiang/icassp15_emotion
공식 코드Linear Disentangled Representation Learning for Facial Actions
https://github.com/eheinert/reducing-texture-bias-of-dnns-via-eed
공식 코드Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion
https://github.com/ehsansaleh/firth_bias_reduction
공식 코드On the Importance of Firth Bias Reduction in Few-Shot Classification
https://github.com/ehuynh1106/TinyImageNet-Transformers
공식 코드https://github.com/eighonet/parking-research
공식 코드Revising deep learning methods in parking lot occupancy detection
https://github.com/eitanspi/weather-image-classification
공식 코드https://github.com/ejlb/squeezenet-chainer
공식 코드SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
https://github.com/elad-amrani/self-classifier
공식 코드https://github.com/elaine-sui/tps
공식 코드Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
https://github.com/eliberis/uNAS
공식 코드$μ$NAS: Constrained Neural Architecture Search for Microcontrollers
https://github.com/elicassion/3dtrl
공식 코드Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
https://github.com/elijahcole/single-positive-multi-label
공식 코드https://github.com/ellagale/testing_object_detectors_in_deepCNNs
공식 코드Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?
https://github.com/elliothe/CVPR_2019_PNI
공식 코드https://github.com/emaasit/long-range-extrapolation
공식 코드Capturing Structure Implicitly from Time-Series having Limited Data
https://github.com/emaballarin/CARSO
공식 코드https://github.com/emannix/cold-paws-labelling-selection-strategies
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.