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 251–275 of 10419 papers

TitleStatusHype
Geometric Median Matching for Robust k-Subset Selection from Noisy Data—0
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models—0
PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image ClassificationCode0
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems—0
Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks—0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization—0
NoProp: Training Neural Networks without Back-propagation or Forward-propagationCode1
Expanding-and-Shrinking Binary Neural NetworksCode0
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification—0
PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI LocalizationCode0
Efficient Dynamic Attention 3D Convolution for Hyperspectral Image ClassificationCode0
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive AdaptersCode0
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation—0
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization—0
Diffusion models applied to skin and oral cancer classification—0
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep ModelsCode0
On Large Multimodal Models as Open-World Image ClassifiersCode1
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble ArchitecturesCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Neural Architecture Search by Learning a Hierarchical Search Space—0
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection—0
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting ModelsCode0
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception—0
VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models—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