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 6026–6050 of 10420 papers

TitleStatusHype
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification—0
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips—0
Logarithmic Lenses: Exploring Log RGB Data for Image Classification—0
1D-Convolutional Capsule Network for Hyperspectral Image Classification—0
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification—0
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention—0
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning—0
Learning with Recursive Perceptual Representations—0
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model—0
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction—0
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting—0
Anatomy-specific classification of medical images using deep convolutional nets—0
Learning with Neighbor Consistency for Noisy Labels—0
Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems—0
Learning with Label Noise for Image Retrieval by Selecting Interactions—0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—0
Learning with Inadequate and Incorrect Supervision—0
Learning with Hierarchical Complement Objective—0
Learning with Differentiable Algorithms—0
Development Of A Fire Detection System On Satellite Images—0
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning—0
An Artificial Neural Network for Image Classification Inspired by Aversive Olfactory Learning Circuits in Caenorhabditis Elegans—0
Learning with convolution and pooling operations in kernel methods—0
Continual Learning with Evolving Class Ontologies—0
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm—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