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 5551–5600 of 10420 papers

TitleStatusHype
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm—0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding—0
An Interactive Explanatory AI System for Industrial Quality Control—0
Dynamic ConvNets on Tiny Devices via Nested Sparsity—0
Dynamic Conditional Networks for Few-Shot Learning—0
Can representation learning for multimodal image registration be improved by supervision of intermediate layers?—0
Dynamic Backdoors with Global Average Pooling—0
Dynamically Stable Poincaré Embeddings for Neural Manifolds—0
Canonical Correlation Analysis of Datasets with a Common Source Graph—0
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?—0
An Intelligent Hybrid Model for Identity Document Classification—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents—0
Can Language Models Use Forecasting Strategies?—0
Dual-Tree Wavelet Packet CNNs for Image Classification—0
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion—0
Dual Supervised Learning—0
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision—0
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models—0
Dual-stream Network for Visual Recognition—0
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization—0
Cancer image classification based on DenseNet model—0
Dual Path Transformer with Partition Attention—0
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification—0
Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks—0
Can a face tell us anything about an NBA prospect? -- A Deep Learning approach—0
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models—0
Dual Complementary Dynamic Convolution for Image Recognition—0
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification—0
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification—0
Can a CNN Recognize Catalan Diet?—0
Dual-channel Prototype Network for few-shot Classification of Pathological Images—0
Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction—0
Camera Bias in a Fine Grained Classification Task—0
Dual adaptive training of photonic neural networks—0
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition—0
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection—0
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking—0
DSM Refinement with Deep Encoder-Decoder Networks—0
An image segmentation algorithm for measurement of flotation froth bubble size distributions—0
A Dot Product Attention Free Transformer—0
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer—0
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification—0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
Boldness-Recalibration for Binary Event Predictions—0
Dropout with Expectation-linear Regularization—0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dropout Distillation for Efficiently Estimating Model Confidence—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