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 7151–7175 of 10420 papers

TitleStatusHype
A Study of Compositional Generalization in Neural Models—0
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos—0
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary—0
Classification for everyone : Building geography agnostic models for fairer recognition—0
Continual Learning for Class- and Domain-Incremental Semantic Segmentation—0
Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction—0
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling—0
Anticipating Future Object Compositions without Forgetting—0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification—0
A Study of BFLOAT16 for Deep Learning Training—0
Frugal Reinforcement-based Active Learning—0
Efficient Online ML API Selection for Multi-Label Classification Tasks—0
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
Optical Neural Networks—0
Optical Neural Ordinary Differential Equations—0
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives—0
Frozen Feature Augmentation for Few-Shot Image Classification—0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—0
A Study for Universal Adversarial Attacks on Texture Recognition—0
Optimal Layer Selection for Latent Data Augmentation—0
A Generalization Theory based on Independent and Task-Identically Distributed Assumption—0
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems—0
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters—0
A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition—0
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified