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 4751–4800 of 10420 papers

TitleStatusHype
New Benchmark for Household Garbage Image Recognition—0
Attention Enables Zero Approximation Error—0
Mixed-Block Neural Architecture Search for Medical Image Segmentation—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
Retrieval Augmented Classification for Long-Tail Visual Recognition—0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
Efficient and Differentiable Conformal Prediction with General Function ClassesCode0
A Self-Supervised Descriptor for Image Copy DetectionCode2
Rethinking the Zigzag Flattening for Image Reading—0
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and BeyondCode2
Visual Attention NetworkCode4
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates—0
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks—0
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks—0
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks—0
DataMUX: Data Multiplexing for Neural NetworksCode1
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation—0
Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception—0
MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition—0
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification—0
Generalizable Information Theoretic Causal Representation—0
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars—0
Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment—0
Meta Knowledge Distillation—0
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition—0
Measuring Unintended Memorisation of Unique Private Features in Neural Networks—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
Prior Gradient Mask Guided Pruning-Aware Fine-TuningCode0
A precortical module for robust CNNs to light variations—0
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksCode1
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray ImagesCode1
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest FiltersCode1
A Theory of PAC Learnability under Transformation Invariances—0
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image ClassificationCode1
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Discriminability-enforcing loss to improve representation learning—0
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networksCode1
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classificationCode1
BViT: Broad Attention based Vision TransformerCode0
Source-Free Progressive Graph Learning for Open-Set Domain AdaptationCode1
Fuzzy Pooling—0
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable NeuronsCode0
Open-set Adversarial Defense with Clean-Adversarial Mutual LearningCode1
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with TransformersCode1
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of AttentionCode1
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep LearningCode1
Exemplar-free Online Continual Learning—0
Entroformer: A Transformer-based Entropy Model for Learned Image CompressionCode1
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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