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Found 23 papers, 6 papers with code
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
Lung cancer is a leading cause of cancer-related deaths globally.
SEAL: Safety Enhanced Trajectory Planning and Control Framework for Quadrotor Flight in Complex Environments
The emergence of dynamic obstacles would further worsen the situation.
Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics
This study explores how neuromodulation, a fundamental feature of biological learning systems, can help address challenges such as catastrophic forgetting and enhance the robustness of ANNs in continuous learning scenarios.
Developing a Reliable, General-Purpose Hallucination Detection and Mitigation Service: Insights and Lessons Learned
Hallucination, a phenomenon where large language models (LLMs) produce output that is factually incorrect or unrelated to the input, is a major challenge for LLM applications that require accuracy and dependability.
Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling
Recent progress in artificial intelligence (AI) has been driven by insights from neuroscience, particularly with the development of artificial neural networks (ANNs).
Few-Shot Object Detection with Sparse Context Transformers
Few-shot detection is a major task in pattern recognition which seeks to localize objects using models trained with few labeled data.
Cascaded Interaction with Eroded Deep Supervision for Salient Object Detection
Deep convolutional neural networks have been widely applied in salient object detection and have achieved remarkable results in this field.
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV).
Ranked #1 on
Semantic Segmentation
on LaRS
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons.
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Contrastive representation learning has emerged as a promising technique for continual learning as it can learn representations that are robust to catastrophic forgetting and generalize well to unseen future tasks.
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization
Z-Code++ creates new state of the art on 9 out of 13 text summarization tasks across 5 languages.
HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring
The goal of electronic monitoring of longline fishing is to visually monitor the fish catching activities on fishing vessels based on cameras, either for regulatory compliance or catch counting.
Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image
Much progress has been made in the supervised learning of 3D reconstruction of rigid objects from multi-view images or a video.
NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
In this paper, we introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR.
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
MediaSum, a large-scale media interview dataset consisting of 463. 6K transcripts with abstractive summaries.
Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing
Finally, with a closed-form solution, the relative 3D fish pose can help locate absolute 3D keypoints, resulting in the frame-based absolute fish length measurement, which is further refined based on the statistical temporal inference for the optimal fish length measurement from the video clip.
Video-based Hierarchical Species Classification for Longline Fishing Monitoring
However, with a known non-overlapping hierarchical data structure provided by fisheries scientists, our method enforces the hierarchical data structure and introduces an efficient training and inference strategy for video-based fisheries data.
Seismic Facies Analysis: A Deep Domain Adaptation Approach
The EAN achieved a pixel-level accuracy >84% and an accuracy of ~70% for the minority classes, showing improved performance compared to existing architectures.
Machine learning for the diagnosis of Parkinson's disease: A systematic review
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and assessment of clinical signs, including the characterization of a variety of motor symptoms.
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification
In SLCRF, first, the 3D convolutional autoencoder (3DCAE) is introduced to remove the redundant information in HSI pixels.
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
The chest CT scan test provides a valuable complementary tool to the RT-PCR test, and it can identify the patients in the early-stage with high sensitivity.
Statistical Learning for OCR Text Correction
The accuracy of Optical Character Recognition (OCR) is crucial to the success of subsequent applications used in text analyzing pipeline.
Optical Character Recognition
Optical Character Recognition (OCR)
