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

Showing 93519375 of 10420 papers

TitleStatusHype
Multi-Scale and Multi-Layer Contrastive Learning for Domain GeneralizationCode0
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural NetworksCode0
Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware MinimizationCode0
DenseNet for Breast Tumor Classification in Mammographic ImagesCode0
Calibrating Deep Convolutional Gaussian ProcessesCode0
Calibrate to InterpretCode0
Invariance encoding in sliced-Wasserstein space for image classification with limited training dataCode0
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image ClassificationCode0
A Group-Theoretic Framework for Data AugmentationCode0
Real-Time Edge Classification: Optimal Offloading under Token Bucket ConstraintsCode0
Calibrated Selective ClassificationCode0
Invariant backpropagation: how to train a transformation-invariant neural networkCode0
DenseNet approach to segmentation and classification of dermatoscopic skin lesions imagesCode0
Approximate Manifold Defense Against Multiple Adversarial PerturbationsCode0
Densely Connected Search Space for More Flexible Neural Architecture SearchCode0
Dense and Diverse Capsule Networks: Making the Capsules Learn BetterCode0
Multiscale patch-based feature graphs for image classificationCode0
Invariant Shape Representation Learning For Image ClassificationCode0
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation ModelCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image ClassificationCode0
PlantDoc: A Dataset for Visual Plant Disease DetectionCode0
ByzShield: An Efficient and Robust System for Distributed TrainingCode0
Delving into Transferable Adversarial Examples and Black-box AttacksCode0
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental DataCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified