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 6851–6900 of 10420 papers

TitleStatusHype
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency—0
Towards Non-I.I.D. Image Classification: A Dataset and Baselines—0
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging—0
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning—0
On the Convergence of Continual Learning with Adaptive Methods—0
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification—0
NN2CAM: Automated Neural Network Mapping for Multi-Precision Edge Processing on FPGA-Based Cameras—0
Gemini Pro Defeated by GPT-4V: Evidence from Education—0
A Survey of Deep Learning for Low-Shot Object Detection—0
A Genetic Programming Approach To Zero-Shot Neural Architecture Ranking—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
Noise-Contrastive Variational Information Bottleneck Networks—0
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise—0
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma—0
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks—0
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models—0
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization—0
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification—0
Centroid Transformers: Learning to Abstract with Attention—0
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance—0
GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation—0
Noisy Label Processing for Classification: A Survey—0
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels?—0
No more meta-parameter tuning in unsupervised sparse feature learning—0
GCCN: Global Context Convolutional Network—0
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification—0
Non-Coherent Over-the-Air Decentralized Gradient Descent—0
Nonconvex Continual Learning with Episodic Memory—0
Contrastive Knowledge Amalgamation for Unsupervised Image Classification—0
On Study of the Binarized Deep Neural Network for Image Classification—0
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning—0
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework—0
On the ability of CNNs to extract color invariant intensity based features for image classification—0
Non-Determinism in TensorFlow ResNets—0
Non-Federated Multi-Task Split Learning for Heterogeneous Sources—0
Efficient Maximal Coding Rate Reduction by Variational Forms—0
Non-imaging single-pixel sensing with optimized binary modulation—0
Non-linear Convolution Filters for CNN-based Learning—0
Nonlinear functional regression by functional deep neural network with kernel embedding—0
Gaze Embeddings for Zero-Shot Image Classification—0
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network—0
Contrastive Forward-Forward: A Training Algorithm of Vision Transformer—0
Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing—0
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels—0
Gaussian-Hermite Moment Invariants of General Multi-Channel Functions—0
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks—0
Nonparametric Stochastic Contextual Bandits—0
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology—0
A survey of active learning algorithms for supervised remote sensing 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