https://github.com/SurajDonthi/Multi-Target-Multi-Camera-Tracking-ST-ReID
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Are we done with object recognition? The iCub robot's perspective
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
Learning Deep Representations of Fine-grained Visual Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Declarative Experimentation in Information Retrieval using PyTerrier
Circle Loss: A Unified Perspective of Pair Similarity Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.