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 2676–2700 of 10420 papers

TitleStatusHype
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering—0
Effects of Auxiliary Knowledge on Continual Learning—0
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning—0
Classification and Retrieval of Digital Pathology Scans: A New Dataset—0
Adversarial attacks to image classification systems using evolutionary algorithms—0
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks—0
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses—0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches—0
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness—0
Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity—0
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness—0
Adversarial Attacks to Direct Data-driven Control for Destabilization—0
Effects of Image Degradations to CNN-based Image Classification—0
A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification—0
A Comprehensive Review of Generative AI in Healthcare—0
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition—0
A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification—0
Class-agnostic Object Detection—0
A novel statistical metric learning for hyperspectral image classification—0
Adversarial Attacks on Image Classification Models: Analysis and Defense—0
8-bit Numerical Formats for Deep Neural Networks—0
A novel spatial-frequency domain network for zero-shot incremental learning—0
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
Effectiveness of Function Matching in Driving Scene Recognition—0
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning—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