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

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Showing 2751–2775 of 10420 papers

TitleStatusHype
Differentially Private Video Activity Recognition—0
FLuRKA: Fast and accurate unified Low-Rank & Kernel Attention—0
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms—0
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural NetworksCode0
Probability Guided Loss for Long-Tailed Multi-Label Image Classification—0
Histopathology Image Classification using Deep Manifold Contrastive Learning—0
Exploring Data Redundancy in Real-world Image Classification through Data SelectionCode0
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality—0
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology ImageCode1
On Evaluating the Adversarial Robustness of Semantic Segmentation Models—0
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks—0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments—0
To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations—0
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation ModelsCode1
Data-Free Backbone Fine-Tuning for Pruned Neural NetworksCode0
Towards quantum enhanced adversarial robustness in machine learning—0
Training Transformers with 4-bit IntegersCode1
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free InferenceCode0
Efficient ResNets: Residual Network DesignCode1
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking—0
Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical ValidationCode0
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksCode1
Benchmark data to study the influence of pre-training on explanation performance in MR image classification—0
Balanced Mixture of SuperNets for Learning the CNN Pooling ArchitectureCode0
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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