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

Showing 17261750 of 10420 papers

TitleStatusHype
PseudoSeg: Designing Pseudo Labels for Semantic SegmentationCode1
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmCode1
CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersCode1
Enhancing Few-shot Image Classification with Cosine TransformerCode1
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionCode1
Channel Importance Matters in Few-Shot Image ClassificationCode1
Pyramid Hierarchical Transformer for Hyperspectral Image ClassificationCode1
A Novel Convolutional Neural Network Architecture with a Continuous SymmetryCode1
Enhancing Sharpness-Aware Optimization Through Variance SuppressionCode1
A Comprehensive Empirical Evaluation on Online Continual LearningCode1
Ensembling with Deep Generative ViewsCode1
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnosticsCode1
PAD-Net: An Efficient Framework for Dynamic NetworksCode1
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image ClassificationCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Entroformer: A Transformer-based Entropy Model for Learned Image CompressionCode1
Quantum-limited stochastic optical neural networks operating at a few quanta per activationCode1
Fusion of Dual Spatial Information for Hyperspectral Image ClassificationCode1
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural NetworkCode1
CHEX: CHannel EXploration for CNN Model CompressionCode1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
Gated Attention Coding for Training High-performance and Efficient Spiking Neural NetworksCode1
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
Generalized Few-Shot Video Classification with Video Retrieval and Feature GenerationCode1
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network CalibrationCode1
Show:102550
← PrevPage 70 of 417Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified