Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A comprehensive survey of deep learning for image captioning
Generating a description of an image is called image captioning. Image captioning requires
recognizing the important objects, their attributes, and their relationships in an image. It also …
recognizing the important objects, their attributes, and their relationships in an image. It also …
A comprehensive survey of scene graphs: Generation and application
Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …
attributes, and relationships between objects in the scene. As computer vision technology …
Diffusiondet: Diffusion model for object detection
We propose DiffusionDet, a new framework that formulates object detection as a denoising
diffusion process from noisy boxes to object boxes. During the training stage, object boxes …
diffusion process from noisy boxes to object boxes. During the training stage, object boxes …
Beyond transmitting bits: Context, semantics, and task-oriented communications
Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …
Such an approach provides efficient engineering designs that are agnostic to the meanings …
Compositional chain-of-thought prompting for large multimodal models
The combination of strong visual backbones and Large Language Model (LLM) reasoning
has led to Large Multimodal Models (LMMs) becoming the current standard for a wide range …
has led to Large Multimodal Models (LMMs) becoming the current standard for a wide range …
Transformer-based visual segmentation: A survey
Visual segmentation seeks to partition images, video frames, or point clouds into multiple
segments or groups. This technique has numerous real-world applications, such as …
segments or groups. This technique has numerous real-world applications, such as …
Semantic communications: Principles and challenges
Semantic communication, regarded as the breakthrough beyond the Shannon paradigm,
aims at the successful transmission of semantic information conveyed by the source rather …
aims at the successful transmission of semantic information conveyed by the source rather …
Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario
We introduce a novel visual question answering (VQA) task in the context of autonomous
driving, aiming to answer natural language questions based on street-view clues. Compared …
driving, aiming to answer natural language questions based on street-view clues. Compared …
Enhancing video-language representations with structural spatio-temporal alignment
While pre-training large-scale video-language models (VLMs) has shown remarkable
potential for various downstream video-language tasks, existing VLMs can still suffer from …
potential for various downstream video-language tasks, existing VLMs can still suffer from …
[HTML][HTML] Cpt: Colorful prompt tuning for pre-trained vision-language models
Abstract Vision-Language Pre-training (VLP) models have shown promising capabilities in
grounding natural language in image data, facilitating a broad range of cross-modal tasks …
grounding natural language in image data, facilitating a broad range of cross-modal tasks …