117 research outputs found
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation
Aerial tracking, which has exhibited its omnipresent dedication and splendid
performance, is one of the most active applications in the remote sensing
field. Especially, unmanned aerial vehicle (UAV)-based remote sensing system,
equipped with a visual tracking approach, has been widely used in aviation,
navigation, agriculture,transportation, and public security, etc. As is
mentioned above, the UAV-based aerial tracking platform has been gradually
developed from research to practical application stage, reaching one of the
main aerial remote sensing technologies in the future. However, due to the
real-world onerous situations, e.g., harsh external challenges, the vibration
of the UAV mechanical structure (especially under strong wind conditions), the
maneuvering flight in complex environment, and the limited computation
resources onboard, accuracy, robustness, and high efficiency are all crucial
for the onboard tracking methods. Recently, the discriminative correlation
filter (DCF)-based trackers have stood out for their high computational
efficiency and appealing robustness on a single CPU, and have flourished in the
UAV visual tracking community. In this work, the basic framework of the
DCF-based trackers is firstly generalized, based on which, 23 state-of-the-art
DCF-based trackers are orderly summarized according to their innovations for
solving various issues. Besides, exhaustive and quantitative experiments have
been extended on various prevailing UAV tracking benchmarks, i.e., UAV123,
UAV123@10fps, UAV20L, UAVDT, DTB70, and VisDrone2019-SOT, which contain 371,903
frames in total. The experiments show the performance, verify the feasibility,
and demonstrate the current challenges of DCF-based trackers onboard UAV
tracking.Comment: 28 pages, 10 figures, submitted to GRS
1D-Touch: NLP-Assisted Coarse Text Selection via a Semi-Direct Gesture
Existing text selection techniques on touchscreen focus on improving the
control for moving the carets. Coarse-grained text selection on word and phrase
levels has not received much support beyond word-snapping and entity
recognition. We introduce 1D-Touch, a novel text selection method that
complements the carets-based sub-word selection by facilitating the selection
of semantic units of words and above. This method employs a simple vertical
slide gesture to expand and contract a selection area from a word. The
expansion can be by words or by semantic chunks ranging from sub-phrases to
sentences. This technique shifts the concept of text selection, from defining a
range by locating the first and last words, towards a dynamic process of
expanding and contracting a textual semantic entity. To understand the effects
of our approach, we prototyped and tested two variants: WordTouch, which offers
a straightforward word-by-word expansion, and ChunkTouch, which leverages NLP
to chunk text into syntactic units, allowing the selection to grow by
semantically meaningful units in response to the sliding gesture. Our
evaluation, focused on the coarse-grained selection tasks handled by 1D-Touch,
shows a 20% improvement over the default word-snapping selection method on
Android
Advances in CRISPR/Cas gene therapy for inborn errors of immunity
Inborn errors of immunity (IEIs) are a group of inherited disorders caused by mutations in the protein-coding genes involved in innate and/or adaptive immunity. Hematopoietic stem cell transplantation (HSCT) is a mainstay definitive therapy for many severe IEIs. However, the lack of HLA-matched donors increases the risk of developing severe immunological complications. Gene therapy provides long-term clinical benefits and could be an attractive therapeutic strategy for IEIs. In this review, we describe the development and evolution of clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated proteins (Cas) gene-editing systems, including double-strand break (DSB)-based gene editing and DSB-free base editing or prime editing systems. Here, we discuss the advances in and issues associated with CRISPR/Cas gene editing tools and their potential as therapeutic alternatives for IEIs. We also highlight the progress of preclinical studies for the treatment of human genetic diseases, including IEIs, using CRISR/Cas and ongoing clinical trials based on this versatile technology
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