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Found 9 papers, 5 papers with code
Unlearning Concepts from Text-to-Video Diffusion Models
We propose a novel concept-unlearning method by transferring the unlearning capability of the text encoder of text-to-image diffusion models to text-to-video diffusion models.
SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding
Remote Sensing Large Multi-Modal Models (RSLMMs) are developing rapidly and showcase significant capabilities in remote sensing imagery (RSI) comprehension.
MonoCD: Monocular 3D Object Detection with Complementary Depths
Monocular 3D object detection has attracted widespread attention due to its potential to accurately obtain object 3D localization from a single image at a low cost.
Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration
Point Cloud Registration is a critical and challenging task in computer vision.
Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery
Therefore, to ensure the visibility and integrity of bridges, it is essential to perform holistic bridge detection in large-size very-high-resolution (VHR) RSIs.
Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant Loss
First, the estimator is constructed to predict the discrete distributions of scales and orientations.
Bayesian Convolutional Neural Networks for Seven Basic Facial Expression Classifications
The seven basic facial expression classifications are a basic way to express complex human emotions and are an important part of artificial intelligence research.
Unsupervised Learning Framework of Interest Point Via Properties Optimization
To maximize the objective efficiently, latent variable is introduced to represent the probability of that a point satisfies the required properties.
Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)
Our final algorithm, mini-batch gradient descent with regularization, DropRule and AdaBound (MBGD-RDA), can achieve fast convergence in training TSK fuzzy systems, and also superior generalization performance in testing.
