SOTAVerified

Image Classification

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.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7576–7600 of 10420 papers

TitleStatusHype
PROFIT: A Specialized Optimizer for Deep Fine Tuning—0
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification—0
Progressive Class-based Expansion Learning For Image Classification—0
CNNs Avoid Curse of Dimensionality by Learning on Patches—0
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation—0
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks—0
Progressive Meta-Pooling Learning for Lightweight Image Classification Model—0
Food Classification using Joint Representation of Visual and Textual Data—0
Assessing Robustness to Noise: Low-Cost Head CT Triage—0
Generalized Coarse-to-Fine Visual Recognition with Progressive Training—0
CNN: Single-label to Multi-label—0
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers—0
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections—0
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT—0
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures—0
Active Data Discovery: Mining Unknown Data using Submodular Information Measures—0
FolkTalent: Enhancing Classification and Tagging of Indian Folk Paintings—0
Explaining Representation by Mutual Information—0
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization—0
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration—0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification—0
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks—0
Constrained deep neural network architecture search for IoT devices accounting hardware calibration—0
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery—0
Focused Active Learning for Histopathological Image Classification—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified