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 5751–5775 of 10420 papers

TitleStatusHype
Learning Longer-term Dependencies in RNNs with Auxiliary Losses—0
Learning Long Sequences in Spiking Neural Networks—0
Learning Loss for Test-Time Augmentation—0
Learning Mask Invariant Mutual Information for Masked Image Modeling—0
CowScape: Quantitative reconstruction of the conformational landscape of biological macromolecules from cryo-EM data—0
Group Invariant Deep Representations for Image Instance Retrieval—0
Grouping-By-ID: Guarding Against Adversarial Domain Shifts—0
Learning More Discriminative Local Descriptors for Few-shot Learning—0
CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning—0
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances—0
Group Based Deep Shared Feature Learning for Fine-grained Image Classification—0
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels—0
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19—0
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification—0
Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition—0
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations—0
Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Designing Adaptive Neural Networks for Energy-Constrained Image Classification—0
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding—0
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study—0
MABViT -- Modified Attention Block Enhances Vision Transformers—0
Learning Receptive Fields for Pooling from Tensors of Feature Response—0
Mamba base PKD for efficient knowledge compression—0
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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