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 2601–2625 of 10420 papers

TitleStatusHype
Dynamic Memory-enhanced Transformer for Hyperspectral Image Classification—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
A Physics-Inspired Optimizer: Velocity Regularized Adam—0
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification—0
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique—0
Dynamic Inference with Neural Interpreters—0
Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception—0
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities—0
Class Instance Balanced Learning for Long-Tailed Classification—0
Class-Incremental Mixture of Gaussians for Deep Continual Learning—0
A Perspective on Deep Vision Performance with Standard Image and Video Codecs—0
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection—0
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing—0
Adversarial Dropout Regularization—0
Class-incremental learning: survey and performance evaluation on image classification—0
Class incremental learning for video action classification—0
Adversarial Distillation for Ordered Top-k Attacks—0
Classifying Video based on Automatic Content Detection Overview—0
A Particle-based Sparse Gaussian Process Optimizer—0
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking—0
Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning—0
A^2-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder—0
Classifying neuromorphic data using a deep learning framework for image classification—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