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 4976–5000 of 10420 papers

TitleStatusHype
Image Classification with Consistent Supporting Evidence—0
CURL: Co-trained Unsupervised Representation Learning for Image Classification—0
Image Classification with Deep Reinforcement Active Learning—0
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix—0
Image Classification with Rejection using Contextual Information—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?—0
How many classifiers do we need?—0
CUNI System for the WMT18 Multimodal Translation Task—0
Audio-to-Image Cross-Modal Generation—0
Invariant Scattering Transform for Medical Imaging—0
How good is my GAN?—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
CUNet: A Compact Unsupervised Network for Image Classification—0
Image Data Augmentation for Deep Learning: A Survey—0
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer—0
Invariant Learning via Diffusion Dreamed Distribution Shifts—0
ImageEye: Batch Image Processing Using Program Synthesis—0
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
Image Labeling on a Network: Using Social-Network Metadata for Image Classification—0
Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images—0
Image Moment Invariants to Rotational Motion Blur—0
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena—0
Invariance vs Robustness of 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